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Scaffolding and hidden assumptions speed up complex refactors — Intel — VibeLeaderboard

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Scaffolding and hidden assumptions speed up complex refactors

From Benchmarking Coding Agents on New vs Legacy Codebases — Denys Linkov, Wisedocs · ≈17:08

Highlights that task complexity and pre-built scaffolding (research, POC, assumption validation) are key factors determining how much AI agents can accelerate real-world refactoring work.

What’s in it

Breaks down the real lifecycle behind an AI-assisted code refactor
Flags a classic pitfall: trusting an unverified library feature
Argues future speed gains come from workflow scaffolding, not bigger prompts

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Um in terms of factors, I think that the complexity of the task you can give to a model uh is going to be different, and many more companies will have more scaffolding in terms of actually doing a refactor. So, for example, when I showed the the life cycle of doing the research, the POC work, um validating the code quality, checking hidden assumptions, like you you thought an open-source library had this feature, but it was actually in uh a beta, for example. I think that is going to be much much faster on top of sort of the standard refactoring of hey, here's a file, rewrite it to to match this uh set of requirements.